Mac Studio
Geekbench ML Score
8212
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | December 13 2023 06:41 AM |
| Views | 10 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.2 (Build 23C64) |
| Model | Mac Studio |
| Model ID | Mac13,1 |
| Motherboard | Mac13,1 |
| CPU Information | |
|---|---|
| Name | Apple M1 Max |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M1 Max |
| Base Frequency | 3.22 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| L1 Instruction Cache | 128 KB x 1 |
| L1 Data Cache | 64.0 KB x 1 |
| L2 Cache | 4.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
4203
786.5 IPS |
|
|
Image Classification (F16)
|
100% |
6840
1.28 KIPS |
|
|
Image Classification (I8)
|
99% |
7187
1.34 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1537
25.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
1412
23.6 IPS |
|
|
Image Segmentation (I8)
|
100% |
1439
24.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
39567
47.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
65440
79.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
65188
78.9 IPS |
|
|
Object Detection (F32)
|
100% |
3143
234.6 IPS |
|
|
Object Detection (F16)
|
100% |
4148
309.7 IPS |
|
|
Object Detection (I8)
|
97% |
2914
217.5 IPS |
|
|
Face Detection (F32)
|
100% |
14205
168.9 IPS |
|
|
Face Detection (F16)
|
97% |
17516
208.3 IPS |
|
|
Face Detection (I8)
|
96% |
18076
214.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
23055
178.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
27790
215.5 IPS |
|
|
Depth Estimation (I8)
|
37% |
29127
225.9 IPS |
|
|
Style Transfer (F32)
|
100% |
69969
92.0 IPS |
|
|
Style Transfer (F16)
|
100% |
106533
140.1 IPS |
|
|
Style Transfer (I8)
|
100% |
111216
146.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
12435
444.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
14130
504.6 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
17859
637.8 IPS |
|
|
Text Classification (F32)
|
100% |
910
1.31 KIPS |
|
|
Text Classification (F16)
|
100% |
2059
2.96 KIPS |
|
|
Text Classification (I8)
|
96% |
1993
2.86 KIPS |
|
|
Machine Translation (F32)
|
100% |
716
13.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1683
31.0 IPS |
|
|
Machine Translation (I8)
|
99% |
668
12.3 IPS |
